Visual Saliency: From Pixel-Level to Object-Level Analysis

• Κύριοι συγγραφείς: Zhang, Jianming (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Malmberg, Filip (http://id.loc.gov/vocabulary/relators/aut), Sclaroff, Stan (http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Θέματα: Optical data processing.; Signal processing.; Image processing.; Speech processing systems.; Computer science-Mathematics.; Image Processing and Computer Vision.; Signal, Image and Speech Processing.; Mathematics of Computing.

This book provides an introduction to recent advances in theory, algorithms and application of Boolean map distance for image processing. Applications include modeling what humans find salient or prominent in an image, and then using this for guiding smart image cropping, selective image filtering,...

Πίνακας περιεχομένων:

• 1 Overview
• 2 Boolean Map Saliency: A Surprisingly Simple Method
• 3 A Distance Transform Perspective
• 4 Efficient Distance Transform for Salient Region Detection
• 5 Salient Object Subitizing
• 6 Unconstrained Salient Object Detection
• 7 Conclusion and Future Work.